RAPIDS

Jan 16, 2025

Accelerating Time Series Forecasting with RAPIDS cuML

Time series forecasting is a powerful data science technique used to predict future values based on data points from the past Open source Python libraries like...

4 MIN READ

Jan 13, 2025

Upcoming Webinar: Inside the RAPIDS-Accelerated Polars GPU Engine

In the webinar on January 28th, you'll get an inside look of the new GPU engine to learn how Polars' declarative API and query optimizer enable seamless GPU...

1 MIN READ

Dec 20, 2024

Accelerating GPU Analytics Using RAPIDS and Ray

RAPIDS is a suite of open-source GPU-accelerated data science and AI libraries that are well supported for scale-out with distributed engines like Spark and...

4 MIN READ

Dec 20, 2024

NVIDIA Hackathon Winners Share Strategies for RAPIDS-Accelerated ML Workflows

Approximately 220 teams gathered at the Open Data Science Conference (ODSC) West this year to compete in the NVIDIA hackathon, a 24-hour machine learning (ML)...

8 MIN READ

Dec 19, 2024

Enhance Your Training Data with New NVIDIA NeMo Curator Classifier Models

Classifier models are specialized in categorizing data into predefined groups or classes, playing a crucial role in optimizing data processing pipelines for...

11 MIN READ

Dec 12, 2024

NVIDIA Deep Learning Institute Releases New Data Science Teaching Kit for Educators

As data grows in volume, velocity, and complexity, the data science field is booming. There’s an ever-increasing demand for talent and skill sets to...

3 MIN READ

Dec 12, 2024

Harnessing GPU Acceleration for Multi-Label Classification with RAPIDS cuML

Modern classification workflows often require classifying individual records and data points into multiple categories instead of just assigning a single label....

4 MIN READ

Dec 05, 2024

Unified Virtual Memory Supercharges pandas with RAPIDS cuDF

cuDF-pandas, introduced in a previous post, is a GPU-accelerated library that accelerates pandas to deliver significant performance improvements—up to 50x...

5 MIN READ

Nov 21, 2024

Best Practices for Multi-GPU Data Analysis Using RAPIDS with Dask

As we move towards a more dense computing infrastructure, with more compute, more GPUs, accelerated networking, and so forth—multi-gpu training and analysis...

5 MIN READ

Nov 14, 2024

Faster Causal Inference on Large Datasets with NVIDIA RAPIDS

As consumer applications generate more data than ever before, enterprises are turning to causal inference methods for observational data to help shed light on...

4 MIN READ

Workflow diagram for disaggregating data into clusters and running in batches and merging.

Oct 31, 2024

Even Faster and More Scalable UMAP on the GPU with RAPIDS cuML

UMAP is a popular dimension reduction algorithm used in fields like bioinformatics, NLP topic modeling, and ML preprocessing. It works by creating a k-nearest...

12 MIN READ

Oct 28, 2024

Supercharging Fraud Detection in Financial Services with Graph Neural Networks

Fraud in financial services is a massive problem. According to NASDAQ, in 2023, banks faced $442 billion in projected losses from payments, checks, and credit...

9 MIN READ

Oct 22, 2024

NetworkX Introduces Zero Code Change Acceleration Using NVIDIA cuGraph

NetworkX accelerated by NVIDIA cuGraph is a newly released backend co-developed with the NetworkX team. NVIDIA cuGraph provides GPU acceleration for popular...

7 MIN READ

Oct 08, 2024

NVIDIA CUDA-X Now Accelerates the Polars Data Processing Library

Polars, one of the fastest-growing data analytics tools, has just crossed 9M monthly downloads. As a modern DataFrame library, it is designed for efficiently...

3 MIN READ

Oct 02, 2024

Webinar: Accelerating Python with GPUs

Join us on October 9 to learn how your applications can benefit from NVIDIA CUDA Python software initiatives.

1 MIN READ

Sep 18, 2024

Event: Developer Day for Financial Services

Join this virtual developer day to learn how AI and Machine Learning can revolutionize fraud detection and financial crime prevention.

1 MIN READ